UCI student performance.
This dataset includes the demographics, grades, social and school-related features of students in secondary education of two Portuguese schools [1]} in 2005 - 2006 with two distinct subjects: Mathematics and Portuguese. We encode all categorical attributes
by using a one-hot encoding technique. “Sex" is selected as the protected attribute, i.e., we aim to balance gender in the resulting clusters.
